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[HTML][HTML] Mining personal data using smartphones and wearable devices: A survey
The staggering growth in smartphone and wearable device use has led to a massive scale
generation of personal (user-specific) data. To explore, analyze, and extract useful …
generation of personal (user-specific) data. To explore, analyze, and extract useful …
In-use monitoring of buildings: An overview and classification of evaluation methods
GS Olivia, TA Christopher - Energy and Buildings, 2015 - Elsevier
Differences between the expected and the actual performance of buildings have been
attributed partly to the influence of occupants; post-occupancy evaluations have thus gained …
attributed partly to the influence of occupants; post-occupancy evaluations have thus gained …
Semantic management of moving objects: A vision towards smart mobility
This position paper presents our vision for the semantic management of moving objects. We
argue that exploiting semantic techniques in mobility data management can bring valuable …
argue that exploiting semantic techniques in mobility data management can bring valuable …
Map** the big data landscape: technologies, platforms and paradigms for real-time analytics of data streams
TheBig Data'of yesterday is thedata'of today. As technology progresses, new challenges
arise and new solutions are developed. Due to the emergence of Internet of Things …
arise and new solutions are developed. Due to the emergence of Internet of Things …
Towards next-generation heterogeneous mobile data stream mining applications: Opportunities, challenges, and future research directions
The convergence of Internet of Things (IoTs), mobile computing, cloud computing, edge
computing and big data has brought a paradigm shift in computing technologies. New …
computing and big data has brought a paradigm shift in computing technologies. New …
Frontiers of business intelligence and analytics 3.0: a taxonomy-based literature review and research agenda
Researching the field of business intelligence and analytics (BI & A) has a long tradition
within information systems research. Thereby, in each decade the rapid development of …
within information systems research. Thereby, in each decade the rapid development of …
Opportunistic computation offloading in mobile edge cloud computing environments
The dynamic mobility and limitations in computational power, battery resources, and
memory availability are main bottlenecks in fully harnessing mobile devices as data mining …
memory availability are main bottlenecks in fully harnessing mobile devices as data mining …
Data stream mining in ubiquitous environments: state‐of‐the‐art and current directions
In this article, we review the state‐of‐the‐art techniques in mining data streams for mobile
and ubiquitous environments. We start the review with a concise background of data stream …
and ubiquitous environments. We start the review with a concise background of data stream …
Platform-based design of wireless sensor networks for industrial applications
A Bonivento, LP Carloni… - Proceedings of the …, 2006 - ieeexplore.ieee.org
We present a methodology, an environment and supporting tools to map an application on a
wireless sensor network (WSN). While the method is quite general, we use extensively an …
wireless sensor network (WSN). While the method is quite general, we use extensively an …
Pocket data mining
Thanks to continuing advances in mobile computing technology, it has become possible to
perform complex data processing on-board small handheld devices. It has taken over a …
perform complex data processing on-board small handheld devices. It has taken over a …